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6.5: Dealing with edge cases in spam detection

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In this video you will learn how to find and define edge cases that break the existing pre-made spam detection model. Initially you will try solving these problems with tweaks to parameters in the existing code but then move on to retain a new version of the model that can handle the edge cases found to produce a more robust model for your specific use case.

Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → https://goo.gle/developers

Connect with Jason Mayes to ask questions:
LinkedIn → https://goo.gle/3GwgeLw
Twitter →https://goo.gle/3Xh6MT7
Discord →https://goo.gle/3WWVO5t

Use #WebML to share your learnings and creations from this course to meet your peers on social media!

See what others have already made with Web ML → http://goo.gle/made-with-tfjs
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